diff --git a/doc.zih.tu-dresden.de/docs/data_lifecycle/overview.md b/doc.zih.tu-dresden.de/docs/data_lifecycle/overview.md
index 055503cc1b809a9988642eec70fbc1a6daac9910..4c09103dcb0a001a954523cc0382d37cd2b3d5a6 100644
--- a/doc.zih.tu-dresden.de/docs/data_lifecycle/overview.md
+++ b/doc.zih.tu-dresden.de/docs/data_lifecycle/overview.md
@@ -29,7 +29,7 @@ properly:
 It is important to design your data workflow according to characteristics, like I/O footprint
 (bandwidth/IOPS) of the application, size of the data, (number of files,) and duration of the
 storage to efficiently use the provided storage and filesystems.
-The page [filesystems](file_systems.md) holds a comprehensive documentation on the different 
+The page [filesystems](file_systems.md) holds a comprehensive documentation on the different
 filesystems.
 <!--In general, the mechanisms of
 so-called--> <!--[Workspaces](workspaces.md) are compulsory for all HPC users to store data for a
@@ -172,4 +172,5 @@ changing permission command (i.e `chmod`) valid for ZIH system as well. The **gr
 contains members of your project group. Be careful with 'write' permission and never allow to change
 the original data.
 
-Useful links: [Data Management]**todo link**, [Filesystems]**todo link**, [Project Management]**todo link**, [Preservation research data[**todo link**
+Useful links: [Data Management]**todo link**, [Filesystems]**todo link**,
+[Project Management]**todo link**, [Preservation research data[**todo link**
diff --git a/doc.zih.tu-dresden.de/docs/software/machine_learning.md b/doc.zih.tu-dresden.de/docs/software/machine_learning.md
index dc280d7c66ff5be947bcddbfc2a954c614d10c83..cd0bfea076c2e229348f179c33ad1764e354c94b 100644
--- a/doc.zih.tu-dresden.de/docs/software/machine_learning.md
+++ b/doc.zih.tu-dresden.de/docs/software/machine_learning.md
@@ -141,7 +141,7 @@ still need to download some datasets use [DataMover](../../data_transfer/data_mo
 ### The ImageNet dataset
 
 The ImageNet project is a large visual database designed for use in visual object recognition
-software research. In order to save space in the file system by avoiding to have multiple duplicates
+software research. In order to save space in the filesystem by avoiding to have multiple duplicates
 of this lying around, we have put a copy of the ImageNet database (ILSVRC2012 and ILSVR2017) under
 `/scratch/imagenet` which you can use without having to download it again. For the future,
 the ImageNet dataset will be available in warm_archive. ILSVR2017 also includes a dataset for